Dear friends,

Welcome to the June 14 edition of the Sunday Briefing, where we continue our celebration of the 1 year anniversary of this modest newsletter.

This week we continue our ongoing CoVID-19 blog series with: CoVID-19: Visualizing individual patient data. In this post we look at how we can use IHME repository of information on 2.3 Million patients around the world to analyze the delay between symptom onset and case confirmation. As always, you can follow along with the GitHub repository containing the respective Python code. We hope you find it useful and gladly welcome any comments you might have.

As we continue our celebration of our 1 year anniversary, we're also proud to announce a new webinar series on Advanced time series analysis, focusing on GARCH models. This is a follow up to our current webinar series on time series analysis that focuses on the ARIMA class models. If you're interested can already sign up for the first edition here.

In our regularly scheduled programming we dig into the all that goes into successfully dealing with a Machine Learning problem from Problem Framing all the way to Getting machine learning to production. We also look at some of the features of the simple SQLite database and how to improve your Python Code Style.

On the academic front, we have a tutorial on Machine Learning for Sociology, a look at some of the Theoretical issues in deep networks and how Language Models can be used as fact checkers. A particularly important application in our current times.

Finally, the video of the week gives us a quick introduction to the Youtube API by guiding us through how to calculate the duration of a playlist.

Data shows that the best way for a newsletter to grow is by word of mouth, so if you think one of your friends or colleagues would enjoy this newsletter, just go ahead and forward this email to them and help us spread the word!

Today, more than ever,
Semper discentes,

The D4S team